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Optimal design of a novel axial flux magnetically geared PM machine

Authors: Mohammed F.H. Khatab; Z.Q. Zhu; H. Y. Li; Y. Liu;

Optimal design of a novel axial flux magnetically geared PM machine

Abstract

In this paper, a novel axial flux magnetically geared machine (AFMG) is presented. The proposed AFMG machine consists of stator segments equipped with concentrated windings and two permanent magnet (PM) rotors with different pole-pair numbers. The proposed AFMG offers the merit of simple mechanical structure and is suitable for applications with limited axial space. To maximize the torque, both 2D and 3D optimizations of the machine are conducted and compared. By utilizing ANSYS Maxwell 2D finite element (FE) analysis, the global optimization based on a genetic algorithm is executed under fixed copper loss. Then, with the aid of JMAG 3D FE analysis, the optimization of individual geometry parameters is investigated. As the proposed machine has a high - speed rotor of 5 pole pairs, a low-speed rotor of 7 pole pairs, and 12 stator/modulator pieces with concentrated windings, a good agreement of optimized machine dimensions obtained from two optimization methods is achieved. Moreover, both no-load and on-load performance of the machine are analysed.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Top 10%
Average
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